Recommendation System - Matrix Factorization | Python, PyTorch

Описание к видео Recommendation System - Matrix Factorization | Python, PyTorch

"Welcome to this tutorial where I’ll walk you through building a PyTorch recommendation system. In this project, we'll create a collaborative filtering model that learns from user-item interaction data, like movie ratings or product preferences and makes personalized recommendations. We’ve structured the application for simplicity and modularity, separating data loading, model building, training, and prediction into different components. By the end of this video, you’ll understand how to design and implement a powerful recommendation engine using machine learning techniques. Let’s get started!"

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